TY - JOUR
T1 - Fractal dimension of 40 MHz intravascular ultrasound radio frequency signals
AU - Filho, E. Santos
AU - Saijo, Y.
AU - Tanaka, A.
AU - Yambe, T.
AU - Yoshizawa, M.
N1 - Funding Information:
This study was supported by the Grants-in-Aid from the Ministry of Health, Labor and Welfare of Japan (H17-nano-001).
PY - 2008/3
Y1 - 2008/3
N2 - Objective: Fully automatic tissue characterization in intravascular ultrasound systems is still a challenge for the researchers. The present work aims to evaluate the feasibility of using the Higuchi fractal dimension of intravascular ultrasound radio frequency signals as a feature for tissue characterization. Methods: Fractal dimension images are generated based on the radio frequency signals obtained using mechanically rotating 40 MHz intravascular ultrasound catheter (Atlantis SR Plus, Boston Scientific, USA) and compared with the corresponding correlation images. Conclusion: An inverse relation between the fractal dimension images and the correlation images was revealed indicating that the hard or slow moving tissues in the correlation image usually have low fractal dimension and vice-versa. Thus, the present study suggests that fractal dimension images may be used as a feature for intravascular ultrasound tissue characterization and present better resolution then the correlation images.
AB - Objective: Fully automatic tissue characterization in intravascular ultrasound systems is still a challenge for the researchers. The present work aims to evaluate the feasibility of using the Higuchi fractal dimension of intravascular ultrasound radio frequency signals as a feature for tissue characterization. Methods: Fractal dimension images are generated based on the radio frequency signals obtained using mechanically rotating 40 MHz intravascular ultrasound catheter (Atlantis SR Plus, Boston Scientific, USA) and compared with the corresponding correlation images. Conclusion: An inverse relation between the fractal dimension images and the correlation images was revealed indicating that the hard or slow moving tissues in the correlation image usually have low fractal dimension and vice-versa. Thus, the present study suggests that fractal dimension images may be used as a feature for intravascular ultrasound tissue characterization and present better resolution then the correlation images.
KW - Coronary artery
KW - Fractal dimension
KW - Intravascular ultrasound
KW - Radio frequency signal
KW - Tissue characterization
UR - http://www.scopus.com/inward/record.url?scp=39649111968&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=39649111968&partnerID=8YFLogxK
U2 - 10.1016/j.ultras.2007.08.006
DO - 10.1016/j.ultras.2007.08.006
M3 - Article
C2 - 18078666
AN - SCOPUS:39649111968
VL - 48
SP - 35
EP - 39
JO - Ultrasonics
JF - Ultrasonics
SN - 0041-624X
IS - 1
ER -